Hierarchical Adversarial Search Applied to Real-Time Strategy Games
@inproceedings{Stnescu2014HierarchicalAS, title={Hierarchical Adversarial Search Applied to Real-Time Strategy Games}, author={Marius Marinel Stănescu and Nicolas A. Barriga and Michael Buro}, booktitle={AIIDE}, year={2014} }
Real-Time Strategy (RTS) video games have proven to be a very challenging application area for artificial intelligence research. Existing AI solutions are limited by vast state and action spaces and real-time constraints. Most implementations efficiently tackle various tactical or strategic sub-problems, but there is no single algorithm fast enough to be successfully applied to big problem sets (such as a complete instance of the StarCraft RTS game). This paper presents a hierarchical… CONTINUE READING
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